Sensitivity to hidden bias: Rosenbaum bounds
| Outcome | Critical Γ | Interpretation |
|---|---|---|
| Contract duration | 1.30 | A hidden confounder increasing the odds of treatment by 30% would render the effect statistically insignificant |
| Monthly Salary 2017 (€) | 3.00 | Conclusions remain unchanged unless an unobserved factor increases treatment odds by 200% |
| Monthly Salary 2018 (€) | 1.80 | Robust to moderate levels of unobserved selection |
| Monthly Salary 2019 (€) | 1.80 | Robust to moderate levels of unobserved selection |
| Outcome | Critical Γ | Interpretation |
|---|---|---|
| Contract duration | 1.30 | A hidden confounder increasing the odds of treatment by 30% would render the effect statistically insignificant |
| Monthly Salary 2017 (€) | 3.00 | Conclusions remain unchanged unless an unobserved factor increases treatment odds by 200% |
| Monthly Salary 2018 (€) | 1.80 | Robust to moderate levels of unobserved selection |
| Monthly Salary 2019 (€) | 1.80 | Robust to moderate levels of unobserved selection |
Γ denotes the Rosenbaum sensitivity parameter. A value of Γ = 1\Gamma = 1Γ = 1 corresponds to no hidden bias. Reported values indicate the smallest Γ\GammaΓ at which the treatment effect loses statistical significance at the 5% level. Rosenbaum bounds are computed using the matched sample underlying the baseline estimate
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.